CData JDBC Driver connects to Veeva by exposing them as relational SQL models.
CData JDBC Driver connects to Veeva by exposing them as relational SQL models. That is what the veeva by cdata mcp server brings to an AI assistant: the same capability, reachable through the Model Context Protocol rather than a separate app or dashboard.
Because this one is hosted, setup is mostly authentication — you point your client at the endpoint and approve access. Nothing runs on your machine, so there is no runtime to keep patched.
The server publishes 3 tools. What each one is for:
veeva_get_tables — The veeva_get_tables tool exposed by this serverveeva_get_columns — The veeva_get_columns tool exposed by this serverveeva_run_query — The veeva_run_query tool exposed by this serverPlenty of database access servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Veeva By Cdata's toolset — veeva_get_tables, veeva_get_columns, veeva_run_query — is a fair guide to whether it matches your workflow. It is maintained by CDataSoftware; worth a glance at recent repository activity before you build anything load-bearing on it.
SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.
| Tool | What it does |
|---|---|
| veeva_get_tables | The veeva_get_tables tool exposed by this server. |
| veeva_get_columns | The veeva_get_columns tool exposed by this server. |
| veeva_run_query | The veeva_run_query tool exposed by this server. |
**Linux/Mac**
```json
{
"mcpServers": {
"{classname_dash}": {
"command": "/PATH/TO/java",
"args": [
"-jar",
"/PATH/TO/CDataMCP-jar-with-dependencies.jar",
"/PATH/TO/veeva.prp"
]
},
...
}
}Configuration as documented by the project. Restart the client after saving.
Read-only SQL access to Postgres — let your assistant inspect schemas and answer questions from real data.
Manage your whole Supabase project in conversation — database, auth, storage, Edge Functions and branches.
Query, modify and analyse local SQLite databases in conversation — the fastest way to chat with a data file.
Metabase ships its own MCP endpoint — search your BI content, build and run queries, and save questions and dashboards without leaving the chat.
Official MongoDB server covering data, schemas and Atlas management — from find queries to spinning up clusters.
Serverless Postgres with database branching — point your assistant at Neon and let it work on disposable copies.